Enhancing pathological myopia diagnosis: a bimodal artificial intelligence approach integrating fundus and optical coherence tomography imaging for precise atrophy, traction and neovascularisation grading
Our novel bimodal AI multiclassification model for PM ATN staging proves accurate and beneficial for public health screening and prompt referral of PM patients.
Authors
- Youxin Chen (ORCID: https://orcid.org/0000-0002-7231-5058)
- Ruoan Han
- Jianchun Zhao
- Weihong Yu (ORCID: https://orcid.org/0000-0001-7563-409X)
- Zhiyan Xu (ORCID: https://orcid.org/0000-0002-3674-8198)
- Huan Chen (ORCID: https://orcid.org/0000-0001-7563-5877)
- Zhikun Yang (ORCID: https://orcid.org/0000-0003-4524-2970)
- Yajie Yang
- Xiaoxu Han (ORCID: https://orcid.org/0000-0003-1427-8428)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- British Journal of Ophthalmology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1136/bjo-2024-326252
- Citations
- 2
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Key Research and Development Program of China